NLP Email Artifact Extraction and Prioritization
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Solution Overview
Problem
Conventional email management tools are inefficient in organizing and prioritizing digital communications due to the overwhelming volume of unstructured and poorly formatted messages, making it difficult for users to locate and respond to important communications effectively.
Innovation Solution
A system utilizing natural language processing to analyze digital communications, identify semantic references to digital artifacts, and prioritize messages based on relevance, importance, and urgency, allowing for automatic action or user-assisted response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional email management tools organize emails by predefined criteria (date, sender, manual flags), then emails can be sorted and categorized, but users must manually think about and enter important information which consumes time and effort
Solution Approach 1:
The system automatically extracts and analyzes information from email content using natural language processing, eliminating the need for users to manually enter metadata. The system serves itself by autonomously identifying semantic references to digital artifacts, determining importance and urgency, and organizing emails without human intervention in the data entry process
Solution Approach 2:
The patent replaces manual mechanical operations (users manually reading, thinking, and entering information) with automated computational processes (NLP algorithms analyzing email content and extracting structured information). This substitution transforms the organization process from a human-cognitive task to an automated computational task
2Speed
If users rush to respond to overwhelming inboxes, then response speed increases, but accuracy of information entry and formatting deteriorates
Solution Approach 1:
The system performs preliminary analysis and organization of emails before users need to respond. By pre-extracting semantic references, pre-determining importance and urgency, and pre-organizing artifacts, the system prepares all necessary information in advance, allowing users to respond quickly without sacrificing accuracy
3Measurement precision
If recipients manually correlate semantic references in communications with digital artifacts, then accurate matching can be achieved, but significant time is spent searching and correlating
Solution Approach 1:
The system replaces manual correlation operations with automated natural language processing algorithms that analyze the context of semantic references and match them with appropriate digital artifacts. The computational process substitutes human cognitive effort in interpreting references and searching for matching artifacts
Solution Approach 2:
The system introduces an intermediary processing layer that sits between the email content and the digital artifacts. This intermediary automatically extracts semantic references from email text and matches them with corresponding artifacts, eliminating the need for direct manual correlation by users
4Loss of time
If the system automatically identifies and resolves semantic references to digital artifacts, then artifact location time is reduced, but system complexity increases
Solution Approach 1:
The system employs a multi-functional natural language processing engine that performs multiple tasks: extracting semantic references, determining context, matching artifacts, and organizing information. This universal processor handles diverse functions through a single integrated system rather than separate specialized components for each function
Data Source
AI summary
Provided is a computer implemented method including receiving a digital communication; analyzing said communication using natural language processing to identify any semantic reference to one or more digital artifacts; and identifying and locating the one or more digital artifacts. In some embodiments one or more digital artifacts are not specifically identified in the digital communication. In some embodiments one or more digital artifacts are not specifically included in the digital communication. Related apparatus, systems, techniques, and articles are also described.